A curated list of trustworthy deep learning papers. Daily updating...
☆383Mar 13, 2026Updated 2 weeks ago
Alternatives and similar repositories for awesome-trustworthy-deep-learning
Users that are interested in awesome-trustworthy-deep-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆937Feb 28, 2026Updated last month
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆395Jan 7, 2026Updated 2 months ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆84Feb 28, 2026Updated last month
- Existing Literature about Machine Unlearning☆958Aug 29, 2025Updated 7 months ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Dec 15, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An awesome list of papers on privacy attacks against machine learning☆633Mar 18, 2024Updated 2 years ago
- A list of backdoor learning resources☆1,163Jul 31, 2024Updated last year
- ☆371Jan 4, 2026Updated 2 months ago
- A resource repository for machine unlearning in large language models☆558Mar 22, 2026Updated last week
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,238Dec 14, 2023Updated 2 years ago
- [ICML 2024] TrustLLM: Trustworthiness in Large Language Models☆622Jun 24, 2025Updated 9 months ago
- A summay of existing works on vertical federated/split learning☆15Nov 28, 2021Updated 4 years ago
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆19Dec 16, 2024Updated last year
- ☆187Nov 17, 2025Updated 4 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The official Pytorch implementation of paper "FedSoup: Improving Generalization and Personalization in Federated Learning via Selective M…☆18Apr 14, 2024Updated last year
- EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.☆338Jun 30, 2024Updated last year
- Papers and resources related to the security and privacy of LLMs 🤖☆569Jun 8, 2025Updated 9 months ago
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆38Jul 29, 2025Updated 8 months ago
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Jul 15, 2024Updated last year
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆25May 27, 2025Updated 10 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Jul 10, 2023Updated 2 years ago
- ☆36May 21, 2025Updated 10 months ago
- ☆592Jul 4, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- The open-sourced Python toolbox for backdoor attacks and defenses.☆651Sep 27, 2025Updated 6 months ago
- ☆15Dec 10, 2024Updated last year
- Empirical tricks for training robust models (ICLR 2021)☆256May 25, 2023Updated 2 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆377Feb 5, 2023Updated 3 years ago
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆287Jan 11, 2025Updated last year
- Robust machine learning for responsible AI☆507Jul 12, 2024Updated last year
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, boo…☆985Nov 5, 2025Updated 4 months ago
- A list of research towards security&privacy in AI-Generated Content☆16Jan 10, 2025Updated last year
- Related papers for robust machine learning☆562May 25, 2023Updated 2 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Jul 3, 2021Updated 4 years ago
- [NeurIPS D&B '25] The one-stop repository for LLM unlearning☆512Mar 18, 2026Updated last week
- A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).☆1,911Mar 16, 2026Updated 2 weeks ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆237Mar 15, 2024Updated 2 years ago
- Pytorch implementation of NPAttack☆12Jul 7, 2020Updated 5 years ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆36Mar 22, 2025Updated last year
- A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide…☆1,808Mar 20, 2026Updated last week